How to start learning AI for free as a Beginner

How to start learning AI for free as a Beginner

Artificial intelligence (AI) is rapidly changing the world around us. From personalized recommendations to self-driving cars, AI is becoming an increasingly integral part of our daily lives. Learning AI can open up new opportunities and help you stay ahead of the curve.

The best part? You don't need a degree or prior programming experience to get started. Numerous free resources available online can teach you the basics of AI, including online courses, tutorials, and hands-on projects.

Table of Contents

• Introduction

• Start Learning AI as a Beginner

• Learn AI With zero Knowledge

• FREE AI Courese with Certificates

• Complete Plan for Learning AI

• Bonus Gift for Readers

 A Special Thanks to FocuSee

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How to start learning AI for Free as a Beginner

Artificial intelligence (AI) is a rapidly growing field that is changing the way we live and work. AI systems can learn from data and perform tasks that would traditionally require human intelligence, such as recognizing patterns, making decisions, and solving problems.

There are many different types of AI, and AI Tools but some of the most common include machine learning, deep learning, and natural language processing. Machine learning involves training algorithms on large datasets to identify patterns and make predictions. Deep learning is a type of machine learning that uses artificial neural networks to learn complex patterns. Natural language processing involves teaching computers to understand and respond to human language.  

One of the most in-demand areas of AI is prompt engineering. Prompt engineers are responsible for crafting the instructions that AI models use to generate text, images, and other content. This is a highly skilled profession that can be very lucrative. Prompt engineers can earn upwards of $30,000 per month, and the demand for their skills is expected to continue to grow.

How a Person can Learn AI With Zero Knowledge

There are many excellent online courses available for learning about AI. Platforms like Coursera, edX, Udacity, and Udemy offer a wide variety of courses on machine learning, deep learning, data science, AI ethics, and AI for business. Don’t worry we will know in detail about the different free AI courses in the coming section.

These courses can help you gain a solid understanding of AI and develop the skills you need to succeed in this exciting field.

Here is a list of courses offered by Udemy you should check if you are a beginner and want to learn about AI.

Free AI Courses for Beginners with Certificates. Can a person learn AI without coding?

Google

Google offers a variety of free AI courses through its Google Cloud Platform. These courses cover a wide range of topics, including machine learning, deep learning, natural language processing, and computer vision.

IBM

IBM offers a variety of free AI courses through its IBM Cloud platform. These courses cover a wide range of topics, including Introduction to AI, machine learning, deep learning, natural language processing, and computer vision.

Microsoft

Microsoft offers a variety of free AI courses through its Microsoft Azure platform. These courses cover a wide range of topics, including machine learning, deep learning, natural language processing, and computer vision.

Microsoft is offering more free courses for beginners. Everyone can learn AI for free without any knowledge.

Udemy

Udemy is an online learning platform that offers a variety of free and paid courses on AI. These courses cover a wide range of topics, including machine learning, deep learning, natural language processing, and computer vision.

Coursera

Coursera is an online learning platform that offers a variety of free and paid courses on AI. These courses cover a wide range of topics, including Generative AI, machine learning, deep learning, natural language processing, and computer vision.

Here are some Other trusted sources:

• Fast AI: It is a popular online resource for learning about machine learning and deep learning. They offer a variety of free courses and tutorials.

• Kaggle: Kaggle is a platform for data scientists and machine learning engineers. They offer a variety of free courses and tutorials, as well as competitions where you can test your skills.

• Deep Learning AI: It’s a platform founded by Andrew Ng, a leading expert in deep learning. They offer a variety of free courses and tutorials on deep learning.

• Udacity: Udacity is an online learning platform that offers a variety of free and paid courses on AI. These courses cover a wide range of topics, including machine learning, deep learning, natural language processing, and computer vision.

How to Learn Artificial Intelligence: A Step-by-Step Guide

Artificial intelligence (AI) is a rapidly growing field with vast potential. If you're interested in learning AI, here's a step-by-step guide to get you started.

1. Develop a Learning Plan

• Set clear objectives: Determine your specific goals for learning AI. Are you interested in a particular application or seeking a general understanding of the field?

• Identify suitable resources: Research online courses, tutorials, and books that align with your learning objectives. Consider factors like your learning style, time commitment, and budget.

• Create a structured schedule: Plan how much time you can dedicate to AI learning each week. Break down your learning plan into manageable steps to avoid feeling overwhelmed.

2. Master Essential Prerequisites

• Programming proficiency: A solid foundation in programming, particularly Python, is crucial for AI. Learn the fundamentals of Python syntax, data structures, and algorithms.

• Mathematical understanding: Familiarity with linear algebra, calculus, and statistics is beneficial for grasping AI concepts.

• Data analysis skills: Develop proficiency in data cleaning, preprocessing, and visualization.

3. Immerse Yourself in AI Skills

• Online courses: Platforms like Coursera, edX, and Udacity offer a diverse range of AI courses, from introductory to advanced levels.

• Tutorials and articles: Websites such as Towards Data Science, Machine Learning Mastery, and Deep Learning Zone provide informative tutorials and articles on various AI topics.

• Hands-on projects: Practice applying AI concepts through practical projects. Kaggle is a popular platform for data science competitions and datasets.

4. Familiarize Yourself with AI Tools and Programs

• Python libraries: Learn to utilize popular AI libraries and AI Tools like TensorFlow, PyTorch, and Scikit-learn.

• Cloud platforms: Explore cloud-based AI platforms such as Google Cloud AI, Amazon SageMaker, and Microsoft Azure Machine Learning.

Remember, learning AI requires time and dedication. Be patient with yourself and don't hesitate to experiment. The more you practice, the more confident you'll become in your AI skills.

Here is the Bonus Gift for my Readers

Chat GPT Prompt Cheatsheet to use in your daily routine work.

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